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‘This slowdown has been unusually stubborn. We’ve recorded two straight months of virtually no growth in token spend. The main driver is price declines at the frontier, in addition to efficiency and quality improvements for models across intelligence levels.‘ econlab.substack.com/p/ai-index-o...

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Companies are also getting smarter, AI gateway tech on their edge can cache prompt responses, for your people you get the answer back instantly... For zero actual increase in spend. People are also buying local hardware to do development in instead of doing it in the Cloud. Keeps costs down.

Revenue needs to grow at least 50x for the spend to make any sense, and it’s truly terrifying to imagine what 50x more “intense adoption” looks like. It’s already been jammed into virtually everything.

As hard as it is to believe, maybe people who belong to a doomsday cult might not be great at running a successful business.

the issue is the AI sector really needs it to *not* be a niche product or a lot of investors are gonna lose a lot of money

The investors in OpenAI and likely Anthropic are going to lose tons of money because those companies are very poorly run. LLMs as a tool have enough utily to survive that bubble bursting.